Innovation & Technology Internship – Data Engineering – Summer 2027 (Undergraduate)

CVS Health•Irving, TX

1d•$35 - $39•Hybrid

About The Position

The Innovation & Technology – Data Engineering Internship is a 10.5-week internship running from May 24, 2027, through August 4, 2027. It is described as full-time, with a 40-hour workweek, and is hybrid in Irving, Texas: interns work in the office three days per week, generally Tuesday through Thursday, and may work remotely the other two days. Relocation assistance is provided to candidates who need to relocate more than 50 miles. The intern will build data foundations that support analytics, machine learning, and AI across CVS Health. Working with data engineers, data scientists, and business partners, the intern will develop and maintain pipelines, integrate data from multiple sources, and help ensure large-scale health care data is reliable and ready for use. The work supports solutions intended to improve health care quality, affordability, and outcomes. The internship includes business projects, community service activities, professional development workshops, mentorship and networking opportunities, and interaction with senior leaders. Innovation & Technology programming includes a Leadership Insight Series, an Intern Innovation Challenge, and learning experiences on presentations and storytelling, emerging technology, and AI tools. The internship includes two days of paid leave and no work on the July 4 company holiday. Interns may have an increased likelihood of receiving an offer for a future CVS Health role. Work visa sponsorship is unavailable, including for CPT, OPT, and F-1 Visa programs. The role is part of Analytics & Behavior Change, a team that applies advanced analytics, machine learning, behavioral science, and AI to health care and business challenges. Its focus areas include personalized consumer experiences and behavior change; digital health and omnichannel journeys; provider performance and network optimization; patient safety and clinical insights; enterprise cost management and value creation; care management and health equity; and fraud, waste, and abuse prevention. The posting lists a typical pay range of $35.00–$38.50 per hour and separately states an hourly rate of $35 per hour based on a 40-hour workweek. It also describes this position as part-time in the benefits section; the posting contains both this statement and the full-time description above.

Requirements

Currently pursuing a bachelor's degree with an expected graduation date between December 2027 and June 2028.
Experience using Python to process, transform, and automate data workflows.
Experience using SQL to query and analyze data.
Exposure to cloud platforms such as GCP, AWS, or Azure.

Nice To Haves

A field of study in Computer Science, Computer Engineering, Data Engineering, Information Systems, or a related technical field is preferred.
Knowledge of data warehousing and ETL concepts, including data pipelines and transformation.
Experience building data engineering solutions in cloud environments, preferably GCP.
Familiarity with Git, CI/CD pipelines, and Bash/UNIX scripting.
Experience integrating data from APIs and disparate sources using multiple tools and languages.
Strong problem-solving and critical-thinking skills applied to complex data and engineering problems.
Ability to clearly explain technical concepts and their implications to technical and non-technical audiences.

Responsibilities

Build, test, and maintain data pipelines that extract, transform, and load data.
Integrate structured and unstructured data from multiple sources and systems.
Implement data quality checks to ensure data is accurate, complete, and consistent.
Develop and deploy data solutions in cloud environments.
Contribute to solutions that improve health care quality, affordability, and outcomes.

Benefits

Relocation assistance for candidates who need to relocate more than 50 miles.
Two days of paid leave.
No work on the July 4 company holiday.
Benefits and programs that support physical, emotional, and financial well-being, subject to hours worked and eligibility.
Dental benefits.
Vision benefits.
Wellness resources.
Employee discounts.
Access to certain voluntary benefits.
Professional development workshops, mentorship, networking opportunities, and interaction with senior leaders.